Abstract
Intelligent planning helps to solve a great amount of problems based on efficient algorithms and human knowledge about a specific application. However, knowledge acquisition is always a difficult and tedious process. This paper presents a knowledge acquisition and management system for an intelligent planning system. The planning system is designed to assist an operator of a power plant in difficult maneuvers such as the presence of faults. The architecture of the planner is briefly describes as well as the representation language. This language is adequate to represent process knowledge but it is difficult for an expert operator to capture his/her knowledge in the correct format. This paper presents the design of a knowledge acquisition and management system and describes a case study where it is being utilized.
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Zenteno, E.B., Ibargüengoytia, P.H. (2004). Knowledge Acquisition and Management System for an Intelligent Planner. In: Monroy, R., Arroyo-Figueroa, G., Sucar, L.E., Sossa, H. (eds) MICAI 2004: Advances in Artificial Intelligence. MICAI 2004. Lecture Notes in Computer Science(), vol 2972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24694-7_17
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DOI: https://doi.org/10.1007/978-3-540-24694-7_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21459-5
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